The empirical determinants of credit default swap spreads: A quantile regression approach

Pedro Pires, João Pedro Pereira, Luís Filipe Martins

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

We study the empirical determinants of Credit Default Swap (CDS) spreads through quantile regressions. In addition to traditional variables, such as implied volatility, put skew, historical stock return, leverage, profitability, and ratings, the results indicate that CDS premiums are strongly determined by CDS illiquidity costs, measured by absolute bid-ask spreads. The quantile regression approach reveals that high-risk firms are more sensitive to changes in the explanatory variables that low-risk firms. Furthermore, the goodness-of-fit of the model increases with CDS premiums, which is consistent with the credit spread puzzle.

Original languageEnglish
Pages (from-to)556-589
Number of pages34
JournalEuropean Financial Management
Volume21
Issue number3
DOIs
Publication statusPublished - 1 Jun 2015

Keywords

  • Credit default swap
  • Credit risk
  • Liquidity
  • Quantile regression

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